- Title
- False data injection attacks targeting DC model-based state estimation
- Creator
- Liang, Gaoqi; Weller, Steven R.; Zhao, Junhua; Luo, Fengji; Dong, Zhao Yang
- Relation
- 2017 IEEE Power & Energy Society General Meeting. Proceedings of the 2017 IEEE Power & Energy Society General Meeting (Chicago, IL 16-20 July, 2017)
- Publisher Link
- http://dx.doi.org/10.1109/PESGM.2017.8273918
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2017
- Description
- The false data injection attack (FDIA) is a form of cyber-attack capable of affecting the secure and economic operation of the smart grid. With DC model-based state estimation, this paper analyzes ways of constructing a successful attacking vector to fulfill specific targets, i.e., pre-specified state variable target and pre-specified meter target according to the adversary's willingness. The grid operator's historical reading experiences on meters are considered as a constraint for the adversary to avoid being detected. Also from the viewpoint of the adversary, we propose to take full advantage of the dual concept of the coefficients in the topology matrix to handle with the problem that the adversary has no access to some meters. Effectiveness of the proposed method is validated by numerical experiments on the IEEE-14 benchmark system.
- Subject
- cyber-attacks; false data injection attack; state estimation; smart grid
- Identifier
- http://hdl.handle.net/1959.13/1384899
- Identifier
- uon:32136
- Identifier
- ISBN:9781538622124
- Language
- eng
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